English(EN) 📰 The Most Dangerous AI Hacking Techniques Still Have Humans in the Loop Security researcher James Kettle tried to push the limit of AI’s hacking abilities—and

AI助力网络安全研究，但仍需人类指导

作者 PulseAugur 编辑部 · [2 个来源] · 2026-08-05 19:42

安全研究员James Kettle探索了AI在发现和利用软件漏洞方面的能力。他在Black Hat上公布的发现表明，虽然AI可以加速已知漏洞的发现，甚至发现诸如Shared-Parser Confusion之类的新型漏洞，但目前仍需要人类的指导来进行概念化和实际应用。Kettle利用Anthropic和OpenAI的模型进行的实验显示，AI能够快速生成研究线索，但人类的监督对于审查发现和开发可利用的攻击至关重要。 AI

影响 AI正成为网络安全研究的强大伙伴，加速漏洞发现并概念化新的攻击向量，但人类监督在实际利用方面仍然至关重要。

排序理由文章讨论了AI在网络安全方面的能力研究发现，但并未发布新产品、模型或政策。

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报道来源 [2]

Wired — AI TIER_1 English(EN) · Lily Hay Newman · 2026-08-05 19:42

The Most Dangerous AI Hacking Techniques Still Have Humans in the Loop

Security researcher James Kettle tried to push the limit of AI’s hacking abilities—and discovered how effective it can be when combined with human expertise.
Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-08-05 19:52

📰 The Most Dangerous AI Hacking Techniques Still Have Humans in the Loop Security researcher James Kettle tried to push the limit of AI’s hacking abilities—and

📰 The Most Dangerous AI Hacking Techniques Still Have Humans in the Loop Security researcher James Kettle tried to push the limit of AI’s hacking abilities—and discovered how effective it can be when combined with human expertise. 📰 Source: Feed: All Latest 🔗 Archive: https://web…

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报道来源 [2]

The Most Dangerous AI Hacking Techniques Still Have Humans in the Loop

📰 The Most Dangerous AI Hacking Techniques Still Have Humans in the Loop Security researcher James Kettle tried to push the limit of AI’s hacking abilities—and

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